Document Similarity Learner

The Document Similarity Learner develops a model for identifying a new documents most similar matches from an existing corpus of documents. It consumes already processed documents (refer to Document Preprocessing Component) as input and provides as output both the corpus of documents and a model for use with the Document Similarity Predictor Component.

Options

Select preprocessed document column
Select the column containing the preprocessed documents.
Select the term column
Select the column containing the terms.
Number of keywords to extract
Number of keywords to extract from each input document.

Input Ports

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Documents which have already been preprocessed (via Document Preprocessing).

Output Ports

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The reference corpus of documents for future comparison with new documents.
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Model for creating document vectors on new documents in the appropriate, compatible format.

Nodes

Extensions

Links

Download

To use this component in KNIME, download it from the below URL and open it in KNIME:

Download Component
On NodePit since: 2020-04-20
Last update: 2024-12-17
Created with KNIME version: v4.2.0

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